🚀 Network3 Unveils New Local LLM Feature To Enhance Edge AI Efficiency
#Network3 #LocalLLM #EdgeAI #ArtificialIntelligence #Token2049 #DataSecurity #PrivacyProtection #MobileAI #ComputingEfficiency #AIChatServices #IdleResources #PersonalizedExperience #BetaRelease #AIlayer2 #ModelValidation
According to BlockBeats, on September 17, during the R3al World DePIN Summit at Token2049, Rock Zhang, founder of DePIN & AI project Network3, announced the launch of a new local large language model (LLM) feature. This new feature aims to significantly improve the efficiency and performance of edge AI technology.
Rock Zhang highlighted that while edge AI has become deeply integrated into daily life, its complexity and importance are often overlooked. For instance, the ability of smartphones to complete data processing tasks overnight showcases the potential of edge devices to perform efficient computations using idle resources. The newly introduced local LLM feature by Network3 will optimize the efficient computing capabilities of smart devices during idle times, particularly for local inference and processing without relying on cloud computing. This advancement not only reduces bandwidth consumption but also enhances data security and privacy protection.
Network3 plans to support edge AI by integrating idle edge device resources globally, providing robust support and vast resources. The upcoming local LLM feature will enable users to seamlessly enjoy AI chat services on mobile devices without depending on expensive cloud computing infrastructure. Additionally, users can earn tokens through interactions with the model and customize and optimize algorithms based on personal needs, enhancing personalized experiences. Network3 revealed that the beta version is scheduled for release in October, and users will be able to download and experience it from the official website.
Network3 is also building an AI Layer2 to help global AI developers efficiently, conveniently, and economically conduct large-scale inference, training, or model validation. Previously, Network3 completed $5.5 million in pre-seed and seed round financing, and the next round of financing has already begun, with participation from several leading institutions.#Network3 #LocalLLM #EdgeAI #ArtificialIntelligence #Token2049 #DataSecurity #PrivacyProtection #MobileAI #ComputingEfficiency #AIChatServices #IdleResources #PersonalizedExperience #BetaRelease #AIlayer2 #ModelValidation
🚀 Tether AI Team Unveils Enhanced QVAC Fabric with Cross-Platform Capabilities
#TetherAI #QVACFabric #BitNetLoRA #AI #LLM #CrossPlatform #GPU #MobileAI #OpenSource #MachineLearning #DeepLearning #AIInnovation #AIModels #SmartphoneAI #TechNews
Tether CEO Paolo Ardoino has announced the release of a new version of QVAC Fabric by the Tether AI team. According to ChainCatcher, this update integrates the BitNet LoRA framework, enabling the training and inference of large models with billions of parameters on consumer-grade GPUs and smartphones.
The updated QVAC Fabric LLM marks the first instance of BitNet LoRA fine-tuning and inference running cross-platform on AMD, Intel, Apple Metal, and mobile GPUs. On flagship devices, GPU inference speed has increased by 2 to 11 times compared to CPUs, while memory usage has been reduced by up to 90% compared to full-precision models. The Tether team has successfully fine-tuned models with up to 3.8 billion parameters on flagship smartphones such as Pixel 9, S25, and iPhone 16, and achieved fine-tuning of models with up to 13 billion parameters on the iPhone 16. The related code has been made open-source on GitHub.#TetherAI #QVACFabric #BitNetLoRA #AI #LLM #CrossPlatform #GPU #MobileAI #OpenSource #MachineLearning #DeepLearning #AIInnovation #AIModels #SmartphoneAI #TechNews
🚀 Xiaomi Invests Heavily in AI Development and Talent Recruitment
#Xiaomi #AI #ArtificialIntelligence #TalentRecruitment #R&D #Technology #Innovation #Robotics #MobileAI #LeiJun
Xiaomi founder Lei Jun announced that the company is investing approximately 16 billion yuan this year in AI research and development, focusing on foundational models, embodied intelligent robots, and mobile AI projects. According to PANews, Lei Jun highlighted significant progress in these areas.
Xiaomi has also launched a specialized AI talent recruitment initiative, which includes programs for top-tier talent, campus recruitment, and internships. This initiative aims to create a comprehensive AI talent acquisition channel, open to both university graduates and professionals.#Xiaomi #AI #ArtificialIntelligence #TalentRecruitment #R&D #Technology #Innovation #Robotics #MobileAI #LeiJun